Posted 09 July, 2026
Data Engineer II
Tekwissen India
Bengaluru, KA, IN
Full Time
Reference: 723e4be0a3db75cd
Job Description
Overview:
\n\nTekWissen is a global workforce management provider that offers strategic talent solutions to our clients throughout India and world-wide. Our client is a company operating a marketplace for consumers, sellers, and content creators. It offers merchandise and content purchased for resale from vendors and those offered by thirdparty sellers.
\nJob Title: Data Engineer II
Location: Bangalore
\n Job Type: Contract
\n Duration: 6 Months
\n Work Type: Onsite
Job Description:
\nThe Top Key Responsibilities:
\n- \n
- Lead the design, development, and modernization of AWS-based data platforms, data models, and scalable data solutions supporting Finance and Travel & Expense domains. \n
- Drive migration of analytics workloads to centralized data platforms by performing impact assessments, architecture reviews, implementation, testing, launch, and adoption support. \n
- Collaborate with Finance, Product, BI, and Engineering teams to establish reusable design patterns, improve data governance, observability, operational excellence, and accelerate data-driven decision making. \n
Leadership Principles:
\n- \n
- Ownership \n
- Deliver Results \n
- Invent and Simplify \n
- Dive Deep \n
- Learn and Be Curious \n
Mandatory Requirements:
\n- \n
- 4+ years in Strong SQL skills and experience working with large-scale datasets. \n
- Experience designing and building data pipelines in AWS environments. \n
- Hands-on experience with data warehousing concepts and dimensional modeling. \n
- Proficiency in Python for data engineering use cases. \n
- Experience with ETL/ELT frameworks and workflow orchestration. \n
- Strong understanding of data quality, monitoring, and performance optimization \n
Desired Skills:
\n- \n
- Experience with the client's Redshift, EMR, Glue, Athena, and Lambda. \n
- Knowledge of Spark and distributed data processing. \n
- Experience with CI/CD and Infrastructure as Code. \n
- Exposure to machine learning pipelines and AI/GenAI applications. \n
- Experience with visualization tools such as QuickSight, Tableau, or Power BI. \n
Education or Certification:
\n- \n
- Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or related technical field. \n
- AWS certifications (Associate or Professional level) are preferred but not mandatory. \n
TekWissen Group is an equal opportunity employer supporting workforce diversity.
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